R for Data Science Dublin

Aim

To introduce R to people who have to work with data and want to use R.

The course concentrates on data organising, data visualising, and data reporting, all using only R.

Introduction

Many organisations and research groups have to deal with large amounts of data from multiple sources. They need tools for database access and for merging different data sources. They have to clean, restructure, summarise and visualise data and they want to report their findings in web-based and printed reports. All this needs to be done using one piece of software to enable efficient and consistent reporting. R is ideal for this purpose.

This course brings people up to speed on the basics of R and offers plenty of opportunity for hands-on learning. By the end of the course participants will be able to prepare their own data summaries and write their own reports.

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Enquire About this Course

The Course Team

mailto:aunwin@insightsc.ie

Prof Dr Antony Unwin

MA MSc PhD, Director & Statistician

Insightsc

Prof. Antony Unwin – Antony is a Director of Insight Statistical Consulting and former professor of computer-oriented statistics and data analysis at the University of Augsburg (formerly of Trinity College Dublin). He is a fellow of the American Statistical Society, co-author of the book “Graphics of Large Datasets”, and co-editor of the “Handbook of Data Visualisation”. His research focuses on data visualisation, especially in interactive graphics. Antony is author of the book “Graphical Data Analysis with R” published in 2015 by CRC Press and has published two R packages himself. See his blog on comparing outlier detection methods with the OutliersO3 package on Revolutions here.

The Course Team

mailto:training@insightsc.ie

Louis Aslett

PhD, Statistician

Insightsc

Dr Louis Aslett delivers R training courses throughout the year for Insight. He completed his PhD in Mathematical Statistics from Trinity College Dublin in 2012 and is currently an Assistant Professor in the Department of Mathematical Sciences at Durham University. Before that he spent 4 years in a pure research role in Chris Holmes’ group at the University of Oxford and as Junior Research Fellow at Corpus Christi College. He is author of several R packages and is also the maintainer of freely available RStudio server AMIs for easy and rapid deployment of R into the Amazon cloud service.

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R for Data Science
Aim: to introduce R to people who have to work with data and want to use R. The course concentrates on data organising, data visualising, and data reporting, all using only R.
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